Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-medium-aeb_ENT – AI Model by Rziane | AlphaNeural AI
You can deploy this model and start earning money today!
Rziane
/
whisper-medium-aeb_ENT
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
aeb
AT_ENT
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper medium AT
This model is a fine-tuned version of
openai/whisper-medium
on the AT_ENT dataset. It achieves the following results on the evaluation set:
Loss: 1.2100
Wer: 66.8297
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
1.0
111
1.0527
63.9374
No log
2.0
222
1.0961
65.8796
No log
3.0
333
1.1626
67.5283
No log
4.0
444
1.2100
66.8297
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
